Business Research Methods mcq with answer plus exam quiz and sample paper for amity

Business Research Methods mcq with answer plus exam quiz and sample paper for amity

Looking for comprehensive Business Research Methods MCQs with answers and sample papers for Amity exams? Look no further! Our collection of MCQs and quizzes will help you prepare for your exams and boost your confidence. With our extensive range of MCQs and sample papers, you can test your knowledge and practice for your exams with ease. Explore our Business Research Methods MCQs with answer, exam quiz, and sample paper for Amity today! Also you can take help for your assignments and project writing help from distpub.com

MCQs of Business Research Methods with answer

MCQs exam quiz Business Research Methods

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Syllabus for Amity Business Research Methods

Module I: Nature and Scope of Research Methodology
Types of research; Research process and steps in conducting research; Approaches of research: deductive, Inductive, qualitative and quantitative; Planning a research project: Problem identification and formulation. Research Design: Exploratory, Descriptive and Experimental.

Module II: Research Methods and Data Collection Technique
Research modelling: Types, and Stages; Data collection methods: Survey, Observation and Questionnaire ; Questionnaire Design: Steps in constructing a questionnaire, Types of questions, Attitude measurement ; Scaling techniques; Sampling Plan: Sampling frame, sample selection methods, sample size; Sampling and non-sampling errors; Editing, tabulating and validating of data.

Module III Data Analysis Techniques
Descriptive statistics, Review of hypothesis testing procedures: Parametric tests (z-test, t-test, and F-test, Correlation) and Non-parametric test(Chi-square test). Factor Analysis; Data Analysis: Introduction to statistical software SPSS 21.0

Module IV : Inferential Statistics and Prescriptive analytics
Challenges for big data analytics, Machine Learning: Introduction and Concepts, Regression : Ordinary Least Squares, Ridge Regression, Lasso Regression, K Nearest Neighbors Regression, Logistic Regression & Classification Tree ,Clustering, Unsupervised Learning ,Creating data for analytics through designed experiments, Creating data for analytics through Active learning, Creating data for analytics through Reinforcement learning

Module V Field Project and Report Writing
Pre-Writing considerations, Different ways of writing Literature Review, Research report components, Common Problems encountered when preparing the Research Report, Presenting research report.

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